Triple
T3086223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatal Attraction |
E64378
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dan Gallagher |
E256071
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dan Gallagher | Statement: [Fatal Attraction, mainCharacter, Dan Gallagher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Gallagher Context triple: [Fatal Attraction, mainCharacter, Dan Gallagher]
-
A.
Peter Gallagher
chosen
Peter Gallagher is an American actor and singer known for his work in film, television, and theater, including prominent roles in "The O.C.," "Sex, Lies, and Videotape," and numerous Broadway productions.
-
B.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
C.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
D.
Dan O'Brien
Dan O'Brien is a former American decathlete and Olympic gold medalist widely regarded as one of the greatest decathletes in history.
-
E.
Gerald Geraghty
Gerald Geraghty was an American screenwriter known for his work on mid-20th-century Western films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1ec187c819084565514ebb99cdb |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b2a9b648190a74c7691cc7a4959 |
completed | March 12, 2026, 5:12 a.m. |
Created at: March 8, 2026, 3:03 p.m.